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[基本统计学](./doc/basic-stats.md)\n2. [医学与生物统计学](./doc/med-stats.md)\n3. [生物信息学](./doc/bio-info.md)\n4. [路线规划](./doc/route-planning.md)\n5. [供应链](./doc/supply-chain.md)\n6. [电力系统相关](./doc/power-system.md)\n\n## 参考文献\n\n* 潘发明, 编. *医用统计方法及其SPSS软件实现*. 第3版. 合肥: 中国科学技术大学出版社, 2018.\n* 李霞和雷健波, 编. *生物信息学*. 第2版. 全国高等学校教材. 北京: 人民卫生出版社, 2015.\n* 周登远, 编. *临床医学研究中的统计分析和图形表达实例详解*. 第2版. 北京: 北京科学技术出版社, 2017.\n* [意]Allegra Via, [意]Kristian Rother和[意]Anna Tramontano. *Python生物信息学数据管理*. 翻译 卢宏超, 陈一情和李绍娟. 生命科学与信息技术丛书. 北京: 电子工业出版社, 2017.\n* Janet L. Peacock和Phiilip J. Peacock. *Oxford Handbook of Medical Statistics*. Oxford ; New York: Oxford University Press, 2011.\n* Johnson, D.B. (1973) ‘A Note on Dijkstra’s Shortest Path Algorithm’, *Journal of the ACM*, 20(3), pp. 385–388. Available at: https://doi.org/10.1145/321765.321768.\n* Kopec, David. Classic Computer Science Problems in Python. Shelter Island, New York: Manning Publications Company, 2019.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthreecifanggen%2Fapplied-stat-and-algorithm-in-julia-r-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fthreecifanggen%2Fapplied-stat-and-algorithm-in-julia-r-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fthreecifanggen%2Fapplied-stat-and-algorithm-in-julia-r-python/lists"}